Tech stack at Domino Data Lab
Learn about the 25 tools and technologies that Domino Data Lab uses to build, market, and sell its products.
Languages & Frameworks
These are the programming languages and software frameworks used for developing software, encompassing a variety of applications from web development to data analysis and machine learning.
Development
This category includes essential tools used throughout the software development lifecycle, covering areas such as version control, code testing, and the building and deployment of code. These tools aim to enhance productivity, ensure code quality, and facilitate collaboration among team members.
Libraries
These are collections of pre-written code that developers can use to save time and improve code reliability. Libraries provide ready-to-use solutions for common programming tasks and are often specialized for specific programming languages or frameworks.
Data Stores
This category includes tools and services that store, manage, and process data, ranging from structured to unstructured data types. These can be databases or data warehousing tools, capable of handling large volumes of information and often featuring real-time analytics capabilities.
Analytics
These analytics tools collect, report, and analyze data, including user engagement metrics, traffic sources, and conversion rates. They provide real-time insights to understand site performance, track user behavior, and enable data-driven decisions for website and app optimization.
Marketing and Sales Tools
These tools offer a suite of solutions aimed at enhancing marketing and sales processes. The category includes customer relationship management (CRM) software for managing interactions with clients, email marketing services for targeted campaigns, SEO tools for improving online visibility, and other platforms geared towards lead generation, analytics, and customer engagement.
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